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Release Date: 9/17/2026
Format: MP3
Size: 12.80 MB
A collection of spontaneous responses to questions in Sundanese (Basa Sunda).
Restrictions/Special Constraints
None provided.
Forbidden Usage
It is forbidden to attempt to determine the identity of speakers in the Common Voice datasets. It is forbidden to re-host or re-share this dataset.
Intended Use
This dataset is intended to be used for training and evaluating automatic speech recognition (ASR) models. It may also be used for applications relating to computer-aided language learning (CALL) and language or heritage revitalisation.
su)This datasheet is for sps-corpus-5.0-2026-09-11 of the Mozilla Common Voice Spontaneous Speech dataset for Sundanese [Basa Sunda - su]. The dataset contains 207 clips representing 0.62 hours of recorded speech (0.03 hours validated) from 2 speakers.
The dataset clips are categorised by transcription status and training-set assignment. The following tables summarise the distribution.
| Bucket | Clips | % |
|---|---|---|
| Transcribed & Validated | 15 | 7.2% |
| Transcribed & Pending | 158 | 76.3% |
| Not transcribed | 34 | 16.4% |
| Bucket | Clips | % |
|---|---|---|
| Train | 0 | 0.0% |
| Dev | 0 | 0.0% |
| Test | 0 | 0.0% |
| Unassigned | 207 | 100.0% |
Training split coverage: 0 of 15 transcribed & validated clips (0.0%)
| Bucket | Clips | % |
|---|---|---|
| Validated | 15 | 8.7% |
| Pending | 158 | 91.3% |
| Edited | 1 | 0.6% |
There follows a randomly selected sample of questions used in the corpus.
Naha penting pikeun rutin ngumbah panangan ?
Kumaha iklim tempat anjeun cicing?
Kumaha anjeun diajar basa anu diomongkeun sapopoé?
Dupi jalmi anu yuswa na beda ngagunakeun teknologi sacara benten oge?
Kumaha saur anjeun pikeun kapinteran buatan anu tiasa digunakeun unggal poe?
There follows a randomly selected sample of transcribed responses from the corpus.
Tangkal anu paling umum di tempat abdi nyaeta tangkal caringin
Abdi mah langkung resep nganggo acuk anu ngagaduhan warna bengras.
Biasana masarkat di daerah abdi mah mayar barang-barang teh sacara kontan jarang pisan anu ngagunakeun hape.
Nalika kuring keur leutik, kuring hayang jadi pebisnis anu sukses.
Abdi bakal mere peupeujeuh kalayan nenangkeun sinareng ngahibur babaturan abdi nalika sono ka kulawargana.
Each row of a tsv file represents a single audio clip, and contains the following information:
client_id - hashed UUID of a given user
audio_id - numeric id for audio file
audio_file - audio file name
duration_ms - duration of audio in milliseconds
prompt_id - numeric id for prompt
prompt - question for user
transcription - transcription of the audio response
votes - number of people that who approved a given transcript
age - age of the speaker1
gender - gender of the speaker1
language - language name
split - for data modelling, which subset of the data does this clip pertain to
char_per_sec - how many characters of transcription per second of audio
quality_tags - some automated assessment of the transcription--audio pair, separated by |
transcription-length - character per second under 3 characters per second
speech-rate - characters per second over 30 characters per second
short-audio - audio length under 2 seconds
long-audio - audio length over 5 minutes
non-allowed-script - transcription contains characters from a writing system not associated with the language
mixed-script-words - a single word contains characters from multiple writing systems
mixed-script-transcription - transcription spans multiple writing systems, but each word consistently uses only one
This dataset is released under the Creative Commons Zero (CC-0) licence. By downloading this data you agree to not determine the identity of speakers in the dataset.
For a full list of age, gender, and accent options, see the demographics spec. These will only be reported if the speaker opted in to provide that information. ↩ ↩2